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Record W4406269332 · doi:10.1101/2025.01.08.631636

ERGA-BGE genome of <i>Erebia palarica</i> Chapman, 1905: a montane butterfly endemic to North-West Iberia

2025· preprint· en· W4406269332 on OpenAlexaff
Marta Vila, Laura Torrado‐Blanco, Nils Ryrholm, David Romero-Pedreira, María Conejero, Astrid Böhne, Rita Monteiro, Thomas Marcussen, Rebekah A. Oomen, Torsten H. Struck, Laura Aguilera, Marta Gut, Francisco Câmara Ferreira, Fernando Cruz, Jèssica Gómez‐Garrido, Tyler Alioto, Chiara Bortoluzzi

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsSaint John Regional HospitalUniversity of New Brunswick
FundersHORIZON EUROPE Framework ProgrammeGerman Network for Bioinformatics InfrastructureStaatssekretariat für Bildung, Forschung und InnovationAlbert-Ludwigs-Universität FreiburgUniversidade da CoruñaBundesministerium für Bildung und ForschungLeibniz-GemeinschaftLeibniz-Institut für Zoo- und WildtierforschungXunta de GaliciaUK Research and Innovation
KeywordsMontane ecologyButterflyGeographyEcologyBiology

Abstract

fetched live from OpenAlex

Abstract The reference genome of Erebia palarica will provide valuable insights into evolutionary and conservation genomics. On one hand, the reference genome paves the way to unravel the speciation process, reproductive barriers, and putative hybridisation of E. palarica with its closely related sister species: Erebica meolans . On the other hand, the reference genome will play an important role in the genetic monitoring of this endemic species, facilitating the use of genomics to estimate population genomics parameters. The genome was assembled into 14 contiguous chromosomal pseudomolecules (Z chromosome included). This chromosome-level assembly encompasses 0.49 Gb, composed of 38 contigs and 17 scaffolds, with contig and scaffold N50 values of 34.2 Mb and 38.4 Mb, respectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.210
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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